文献类型：期刊文献

英文题名：Seismic analysis and design of general self-centering braced frames under near-fault pulse-type ground motions

作者：Wang, Yongwei Xie, Yazhou Zhou, Zhen Xie, Qin

第一作者：Wang, Yongwei

通信作者：Xie, YZ[1];Zhou, Z[2]

机构：[1]Hefei Univ Technol, Coll Civil Engn, Hefei 230009, Peoples R China;[2]Hefei Univ Technol, Anhui Key Lab Civil Engn Struct & Mat, Hefei 230009, Peoples R China;[3]McGill Univ, Dept Civil Engn, Montreal, PQ H3A0C3, Canada;[4]Southeast Univ, Key Lab Concrete & Prestressed Concrete Struct, Minist Educ, Nanjing 210096, Peoples R China;[5]Guizhou Inst Technol, Sch Civil Engn, Guiyang 550003, Peoples R China

第一机构：Hefei Univ Technol, Coll Civil Engn, Hefei 230009, Peoples R China

通信机构：corresponding author), McGill Univ, Dept Civil Engn, Montreal, PQ H3A0C3, Canada;corresponding author), Southeast Univ, Key Lab Concrete & Prestressed Concrete Struct, Minist Educ, Nanjing 210096, Peoples R China.

年份：2024

卷号：96

外文期刊名：JOURNAL OF BUILDING ENGINEERING

收录：;EI(收录号：20243416907819);Scopus(收录号：2-s2.0-85201389446);WOS:【SCI-EXPANDED(收录号:WOS:001299723200001)】；

基金：Acknowledgement The authors would like to acknowledge financial supports from "National Natural Science Foundation of China (Grant No.r 52278487, 52108449) " and "the Fundamental Research Funds for the Central Universities of China (Grant No. JZ2024HGQA0114, JZ2024HGTA0188, and PA2024GDSK0049) ". These supports are gratefully acknowledged.

语种：英文

外文关键词：Self-centering brace; Loading stiffness ratio; Multiple degrees of freedom (MDOF) model; Near-fault ground motions; Artificial neural network (ANN); Performance index

摘要：The general self-centering braces (GSCBs), with a loading stiffness larger than unloading stiffness, have been proposed recently to increase the braces' energy dissipation capability under earthquake loading. This study investigates the seismic responses of GSCB frames under near-fault pulse-type ground motions and draws recommendations for their crucial design parameters. First, the equations of motion of the multiple-story GSCB frame are established, from which the equivalent multiple degrees of freedom (MDOF) model is developed and verified against the shaking table test results. The seismic responses of GSCB frames under near-fault ground motions and their pulse-type representations are further computed and compared through the derived equivalent MDOF model. Subsequently, parametric and sensitivity studies are conducted to identify the influential parameters associated with the ground motion and the GSCB frame. These parameters provide the data inputs for training an artificial neural network (ANN)-based surrogate model that predicts the seismic demands of the frame without further engaging exhaustive numerical simulations. Finally, a system-level performance index is proposed to design the GSCB to mitigate inter-story drifts, floor accelerations, and the drift concentration effect simultaneously and substantially reduce seismic losses for both structural and non-structural components. By combining the ANN-based surrogate model with the performance index, this study recommends that the GSCB's post-yielding loading stiffness, alpha k, 2 , should be around 0.25, the unloading stiffness, alpha k, 4 , should stay near 0.4, and the energy dissipation capacity factor, beta f ,4 , can be designed with a small value of around 0.2.